Home⇛Journal of Interdisciplinary Perspectives⇛vol. 3 no. 4 (2025)

Knowledge, Attitudes, and Practices of Pre-service Science Teachers Towards Blended Learning Modalities in Selected State Colleges in Mindanao, Philippines

Louella S. Degamon | Rodrigo S. Montajes Jr.

Discipline: Education

 

Abstract:

The COVID-19 pandemic has significantly disrupted human life and created educational innovation opportunities. One of the educational innovations is the implementation of blended learning modalities to ensure continuity of education. This study aimed to assess pre-service science teachers' knowledge, attitudes, and practices toward blended learning modalities in two selected state colleges in Mindanao. A modified and adapted questionnaire was administered to a sample of 138 participants. Most of the participants were within the age bracket of 18–24 (91%), predominantly female (72%), with a medium level of technological capacity (65%), and primarily preferred a mixed-method approach (59%) to blended learning. Quantitative results revealed that most participants were knowledgeable (X=4.12, SD=0.57), had a positive attitude (X=3.54, SD=0.68), and practiced (X=3.62, SD=0.58) blended learning modalities. At a p<0.05 level of significance, only the learning modality (p<0.02) showed a significant difference in the participants' attitudes, while technological capacity (p<0.05) showed a significant difference in their practices. Qualitative analysis revealed ten (10) essential themes from participants' experiences and insights regarding blended learning modalities (BLM): (1) Unstable internet connectivity in online classes; (2) Technology-related difficulties in online learning; (3) Time-management as a factor in blended learning; (4) Blended learning promotes independent learning; (5) Blended learning as the most effective modality; (6) Continuity of BLM in post-pandemic education; (7) Adequate learning resources in BLM; (8) Provision of clear instructions in BLM; (9) Teaching-learning strategies utilized are doable; and (10) Learning materials available online for further learning. Further qualitative research is recommended to explore the relevant constructs of this study in greater depth. The findings may serve as a baseline for curriculum assessment in higher education programs. Implementing blended learning may be a sustainable approach to delivering quality education in the ‘new normal.’



References:

  1. Ahmad, A., Al-Refai, A. M., Momani, N. S. A., & Abuhashesh, M. (2020). E-learning adoption among academic staff during covid-19 pandemic outbreak: The kap model. International Journal of Advanced Science and Technology, 29(3), 12260–12272. http://sersc.org/journals/index.php/IJAST/article/view/30318
  2. Agudo-Peregrina, A.F., Hernandez-Garcia, A., & Pascual-Miguel, F.J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301-314. https://doi.org/10.1016/j.chb.2013.10.035
  3. Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID- 19 pandemic. Higher Education Studies, 10(3). https://doi.org/10.5539/hes/v10n3p16
  4. Assaf, J., & Nehmeh, L. (2022). The Remote Learning Experience in Lebanon: Learners’ Attitudes and Practices. Pedagogical Research, 7(1), em0115. https://doi.org/10.29333/pr/11551
  5. Baticulon, R.E., Sy, J.J., Alberto, N. R., Baron M.B., Mabuhay, R.E. Rizada, L.G. Tiu, C.J., Clarion C.A. & Reyes, J.C. (2021). Barriers to online learning in the time of COVID–19: A national survey of medical students in the Philippines. Medical Science Educator, 31(2), 615–626. https://doi.org/10.1007/s40670-021-01231-z
  6. Beaunoyer, E., S. Dupéré, & M. J. Guitton. (2020). COVID-19 and Digital Inequalities: Reciprocal Impacts and Mitigation Strategies. Computers in Human Behavior, 111, 106424. https://doi.org/10.1016/j. chb.2020.106424
  7. Blau, I., Weiser, O., & Eshet-Alkalai, Y. (2017). How do medium naturalness and personality traits shape academic achievement and perceived learning? An experimental study of face-to-face and synchronous e-learning. Research in Learning Technology, 25(0). https://doi.org/10.25304/rlt.v25.1974
  8. Bozkurt, A., & Sharma, R. C. (2020). Emergency remote teaching in a time of global crisis due to CoronaVirus pandemic. Asian Journal of Distance Education, 15(1), 1-6. https://www.asianjde.com/ojs/index.php/AsianJDE/article/view/447
  9. Carrillo, C., & Flores, M. A. (2020). COVID-19 and teacher education: a literature review of online teaching and learning practices. European Journal of Teacher Education, 43(4), 466–487. https://doi.org/10.1080/02619768.2020.1821184
  10. Chua, R. S. C., Abejo, A., Adriano, H. K., Apostol, M. A., Boguiren, G. C., Elago, J. C., Ferriols, V. G., Santiago, C. J., & Flores, A. R. (2021). Knowledge, attitudes, and practices of medical technology students on remote teaching in two universities in Manila. International Journal of Arts, Sciences and Education, 1(3), 185–207. https://ijase.org/index.php/ijase/article/view/25
  11. Clark, R. C., & Mayer, R. E. (2016). E-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning. Hoboken, New Jersey, US. John Wiley & Sons, Ltd.
  12. Colfer, B. P., Johri, N., & Wagner, S. L. (2021). A Case Study of MHA Faculty and Student Experiences in Adapting Learning Modality Options to Hybrid Flexible (HyFlex) During the COVID-19 Pandemic. Journal of Health Administration Education, 38(1), 441-466. https://tinyurl.com/2kr4t3bn
  13. Doucet A, Netolicky D, Timmers K, Tuscano F.J. (2020). Thinking about pedagogy in an unfolding pandemic: an independent report on approaches to distance learning during COVID-19 school closures. Retrieved from https://www.oitcinterfor.org/node/7809
  14. Ejdys, J. (2021). Factors affecting the adoption of e-learning at university level. Wseas Transactions On Business And Economics, 18, 313–323. https://doi.org/10.37394/23207.2021.18.32
  15. Fabriz, S., Mendzheritskaya, J., & Stehle, S. (2021). Impact of Synchronous and Asynchronous Settings of Online Teaching and Learning in Higher Education on Students’ Learning Experience During COVID-19. Frontiers in psychology, 12, 733554. https://doi.org/10.3389/fpsyg.2021.733554
  16. Fleming, J., Becker, K., & Newton, C. (2017). Factors for successful e – learning: does age matter? Education + Training, 59(1), 76 – 89. https://doi.org/10.1108/et-07-2015-0057
  17. Gemin, B., Pape, L., Vashaw, L., & Watson, J. (2015). Keeping pace with k-12 digital learning: An annual review of policy and practice. Evergreen Education Group. https://eric.ed.gov/?id=ED570125
  18. Gemin, B., & Pape, L. (2017). Keeping pace with K-12 online learning. Evergreen Education Group. https://www.evergreenedgroup.com/keeping-pace-reports/
  19. Hartnett, M. K. (2015). Influences that undermine learners’ perceptions of autonomy, competence and relatedness in an online context. Australasian Journal of Educational Technology, 31(1). https://doi.org/10.14742/ajet.1526
  20. Holme, T. A. (2020). journal of chemical education call for papers: Special issue on insights gained while teaching chemistry in the time of covid-19. Journal of Chemical Education, 97(5), 1226–1227. https://doi.org/10.1021/acs.jchemed.0c00378
  21. Jacintos, A., Dalisay, J., & Montemayor, T. (2021). The Influence of Online Learning towards the Attention Span and Motivation of College Students (Undergraduate thesis). Mapua University (Undergraduate thesis)
  22. Kim, H. J., Hong, A. J., & Song, H.-D. (2019). The roles of academic engagement and digital readiness in students’ achievements in university e-learning environments. International Journal of Educational Technology in Higher Education, 16(1), 21. https://doi.org/10.1186/s41239-019-0152-3
  23. Moorhouse, B. L., & Wong, K. M. (2022). Blending asynchronous and synchronous digital technologies and instructional approaches to facilitate remote learning. Journal of Computers in Education, 9(1), 51–70. https://doi.org/10.1007/s40692-021-00195-8
  24. Muir, T., Milthorpe, N., Stone, C., Dyment, J., Freeman, E., & Hopwood, B. (2019). Chronicling engagement: Students’ experience of online learning over time. Distance Education, 40(2), 262–277. https://doi.org/10.1080/01587919.2019.1600367
  25. Panigrahi, R., Srivastava, P. R., & Sharma, D. (2018). Online learning: Adoption, continuance, and learning outcome— a review of literature. International Journal of Information Management, 43, 1-14. https://doi.org/10.1016/j.ijin- fomgt.2018.05.005
  26. Sindiani, A. M., Obeidat, N., Alshdaifat, E., Elsalem, L., Alwani, M. M., Rawashdeh, H., Fares, A. S., Alalawne, T., & Tawalbeh, L. I. (2020). Distance education during the COVID-19 outbreak: A cross-sectional study among medical students in North of Jordan. Annals of Medicine and Surgery, 59, 186–194. https://doi.org/10.1016/j.amsu.2020.09.036
  27. Shorey, S., Siew, A. L., & Ang, E. (2018). Experiences of nursing undergraduates on a redesigned blended communication module: A descriptive qualitative study. Nurse Education Today, 61, 77–82. https://doi.org/10.1016/j.nedt.2017.11.012
  28. Smith, K., & Hill, J. (2019). Defining the nature of blended learning through its depiction in current research. Higher Education Research & Development, 38(2), 383–397. https://doi.org/10.1080/07294360.2018.1517732
  29. Xie, H., Liu, W., Bhairma, J., & Shim, E. (2018). Analysis of synchronous and asynchronous E-learning environments. In Proceedings of the 2018 3rd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2018), ed. B. Xu (Paris: Atlantis Press)
  30. Zhan, Z., Fong, P.S., Mei, H., & Liang, T. (2015). Effects of gender grouping on students’ group performance, individual achievements, and attitudes in computer–supported collaborative learning. Computers in Human Behavior, 48, 587-596. https://doi.org/10.1016/j.chb.2015.02.038

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